Chaogang Shao

837 citations
43 papers · 632 indexed · h-index 14
Topics
Plant Molecular Biology Research (34 papers)Chromosomal and Genetic Variations (15 papers)Plant Reproductive Biology (8 papers)
Partner nations
ChinaJapanAustralia

In The Last Decade

Chaogang Shao

42 papers receiving 623 citations

Peers

Chaogang Shao
Comparison fields: 5 of 54
  • Plant Science 498
  • Molecular Biology 371
  • Cancer Research 152
  • Endocrinology 34
  • Insect Science 17
Replace Jinbu Jia with:
Jinbu Jia China
Uciel Chorostecki Spain
Dedong Yin China
Ruiqiang Ye China
Camille Fonouni‐Farde France
Florian Bardou France
Mahmoud El‐Shami United Kingdom
Naoyoshi Kumakura Japan
Chenyang He China
Perry Gustafson United States
Chaogang Shao relative to Jinbu Jia China Jinbu Jia's profile →
Citations per field
00.5×10×16.7×
Jinbu Jia · 1×
Citations per year

Countries citing papers authored by Chaogang Shao

Since Specialization
Citations

This map shows the geographic impact of Chaogang Shao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chaogang Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaogang Shao more than expected).

Fields of papers citing papers by Chaogang Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaogang Shao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chaogang Shao. The network helps show where Chaogang Shao may publish in the future.

Co-authorship network of co-authors of Chaogang Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Chaogang Shao. A scholar is included among the top collaborators of Chaogang Shao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chaogang Shao. Chaogang Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 1
5 13
6 1
7 9
8 10
9 16
10
Identification of novel miRNA-target pairs in rice (Oryza sativa) by a reversed approach.
1
11
MicroRNA*s in apple (Malus domestica): biological implications obtained from high-throughput sequencing data.
1
12 9
13 3
14
Characterization of expression patterns of small RNAs among various organs in Arabidopsis and rice based on 454 platform-generated high-throughput sequencing data.
3
15 16
16 28
17 49
18 9
19 54
20 1

About Chaogang Shao

Chaogang Shao is a scholar working on Plant Science, Cancer Research and Molecular Biology, having authored 43 papers that have together received 632 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (34 papers), Chromosomal and Genetic Variations (15 papers) and Plant Reproductive Biology (8 papers). The work is most often cited by research in Plant Science (498 citations), Cancer Research (152 citations) and Endocrinology (34 citations). Chaogang Shao has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Yijun Meng, Ming Chen, Huizhong Wang, Xiaoxia Ma, Yongfeng Jin, Yuanguang Meng, Lingfeng Gou, Yu Lan, Hidetaka Ito and Zhihong Yang. Their work appears in journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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